Weixin Chen

Dr. Weixin Chen


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
4 June 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
QTQIN TAO
QIN TAO
YNYaozu Ni
Yaozu Ni
WCWeixin Chen
Weixin Chen
LTLei Tao
Lei Tao
In order to improve the impermeability of ordinary “cement–water glass” double-liquid grouting material, this study prepares a composite grouting material with sodium bentonite, cement, and water glass as the main materials, water-reducing agent, and early strength agent as activators. In this study, orthogonal tests were conducted using an L16(45) orthogonal table and the test results were analyzed using regression analysis. Using bentonite instead of partial cement, the experimental factors of the bentonite ratio, glass slurry ratio, water-reducing agent admixture, and early strength agent admixture were used to study the laws of single-factor and two-factor interactions on the initial apparent viscosity, setting time, and compressive strength of composite grouting materials. After obtaining the optimal ratio of composite grouting materials, the mechanism of formation of material strength and seepage resistance properties was revealed. The results show that the mass ratio of bentonite to cement and the mass ratio of water glass to slurry have a large effect on the material properties, and there is an interactive effect of several factors at the same time. The optimal ratio of the material is 28.42% water, 36.58% cement, 6.20% bentonite, 0.04% water-reducing agent, 0.9% early strength agent, and 27.85% water glass. The microstructural analysis shows that the denseness of the stone body structure is enhanced, and thus the strength and impermeability of the material are improved. This composite grouting material improves injectability and seepage resistance and is more suitable for underpinning grouting of weakly cemented soft rocks, but the ratio optimization method and model used in this study can be applied to other materials.

14 July 2022 in Advances in Materials Science and Engineering
Verified
Journal Article
Open access
PDF file
WCWeixin Chen
Weixin Chen
GZGuohua Zhang
Guohua Zhang
QTQin Tao
Qin Tao
LYLiangliang Yu
Liangliang Yu
TLTao Li
Tao Li
XGXianhua Guan
Xianhua Guan
In order to solve the problem of insufficient supply of aggregate for cemented filling material, the experimental research on the mix ratio of cemented filling material using construction waste as recycled coarse aggregate was carried out. A ternary quadratic regression model was created using the Box-Behnken design (BBD) based on the response surface methodology (RSM), using slump, bleeding ratio, and 28 d uniaxial compressive strength of the filling material as response variables, and the model’s accuracy and reliability were confirmed. The findings of the regression model reveal that the response value is influenced by a single component as well as the interaction between the two factors. Finally, based on filling material cost optimization model, an optimal mix ratio is given, in which the wet fly ash/aggregate ratio, Talbol gradation index of recycled aggregate, and dosage of water reducing agent to cement are 0.507, 0.5, and 0.678%, respectively. The filling material which adopted the optimal mix ratio exhibited a good performance with slump of 215 mm and bleeding ratio of 4.00%, uniaxial compressive strength increased significantly within 3 d, and 28 d uniaxial compressive strength was 4.08 MPa, which meet the requirements of field construction.

17 December 2024 in Buildings
Verified
Journal Article
Open access
PDF file
LYLiu Yongli
Liu Yongli
LTLei Tao
Lei Tao
圣赵圣雷 赵
圣雷 赵
WCWeixin Chen
Weixin Chen
YNYaozu Ni
Yaozu Ni
To maintain the stability of soft rock tunnels, the research team proposed a support scheme involving “floor grouting + floor anchors + sealing material”. This scheme incorporates a new sealing material with excellent mechanical properties, airtightness, and cost-effectiveness. To develop the sealing material, a series of proportioning tests and optimization designs were conducted to investigate how various experimental factors influence material performance. Based on these experiments, a regression prediction model was established to reveal the characteristics of factor interactions and determine the optimal mix ratio. Practical engineering validation confirmed that this support scheme effectively controls floor heave in soft rock tunnels.